SPubBin: Smart Public Bin Based on Deep Learning Waste classification An IOT system for Smart environment in Algeria

Salima Bourougaa-Tria, Farid Mokhati, HoussemEddine Tria, Okba Bouziane

Abstract


Over the past few years, Internet of things (IoT) has become one of the most important technologies of the 21st century. Nowadays, it is possible to connect different objects to the internet via embedded devices. By means of this technology, physical objects can share and collect data with minimal human contribution. In this inter-connected world, digital systems can record, monitor, and adjust each interaction between connected things. The IoT technologies support smart cities initiatives around the world in order to promote greener and
safer urban environments, with cleaner air and water, and better public services and mobility. Smart environment is an inseparable part of smart cities. In our environment, wastes are objects that we put in the Bin. Waste management sorting and recycling are two central elements in the fight against climate change. Existing solid waste management policies and methods are being challenged by the exponential population expansion in urban areas. In fast-growing cities, where increasing garbage output exceeds the capacity of current facilities, the issue
becomes even more difficult. Waste avoidance, recycling, reuse, and recovery are essential factors for reducing solid waste discharged in landfills, particularly in rapidly increasing cities where more sustainable management techniques are required. In smart home, effective household waste management is essential to building habitable cities however remains a challenge for many developing countries and cities. In this context, as any other important aspect of city management, a good waste disposal strategy plays a crucial role for making cities more glamorous. In this paper, a novel approach for waste sorting is proposed. Baptized SPubBin (Smart Public Bin), the presented solution is based on transfer learning, and uses, three CNNs models: VGG16, Dense201 and Resnet50. In order to validate the proposed approach, we have developed a tool supporting it.


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References


Lu Tan, Neng Wang in 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), Vol. 5, 2010, pp. V5-376-V5–380.

T.-h. Kim, C. Ramos, S. Mohammed, Smart city and IoT, 2017

Mindy yang and Gary thung.”Classification of trash for recyclability status”. 2016

Coe A, Paquet G and Roy J. E-governance and smart communities: a social learning challenge. Soc Sci Comput Rev 2001; 19(1): 80–93.

Palmisano SJ. A smarter planet: the next leadership agenda. IBM 2008; 6: 1–8.

Cook DJ and Youngblood M. Smart homes. In: Bainbridge WS (ed.) Berkshire encyclopedia of human computer interaction. Great Barrington, MA: Berkshire Publishing Group, 2004, pp.623–626.

Sylwia Majchrowska a, Agnieszka Mikołajczyk , Maria Ferlin , Zuzanna Klawikowska Marta Planty kow , Arkadiusz Kwasigroch , Karol Majek ,2022 . Deep learning-based waste detection in natural and

urban environments. journal homepage: www.elsevier.com/locate/wasman Consulted 27/05/2022

Islam et al. 2012. Overview for solid waste bin monitoring and -collection system. In Innovation Management and Technology Research (ICIMTR), 2012 International Conference on, pages 258–262.IEEE

comparing deep learning and support vector machines for -autonomous waste sorting by george e. sakr and al. 2016

Sindhura jendran and al .”waste segregation using artificial intelligence” 12 december 2019

intelligent waste classification system using deep learning

cenkbircanoglu and al. “recyclenet: intelligent waste sorting using deep neural networks”. july 2018

Available online at http://www.warse.org/ijns/static/pdf/file/ijns10832019.pdf. April - May 2019

bernardo s. costa and al. “ artificial intelligence in automated sorting in trash recycling” . october 2018

store.arduino.cc, ARDUINO UNO REV3, https://store.arduino.cc/arduinouno-rev3.

https://french.alibaba.com/, Hc-05 bluetooth module de transmission Sans Filsérie Bluetooth microcontrôleur hc-05, https://french.alibaba.com/product-detail/ hc-05-bluetooth-module-wirelesstransmission-serial-bluetooth-microcontrollerhc- 05-60589966968.html.

kuongshun.en.made-in-china.com, Dht11 Temperature and Humidity Sensor Module with LED,

https://kuongshun.en.made-in-china.com/product/dCUxoQnMhXWp/ China-Dht11-Temperature-and-

Humidity-Sensor-Module-with-LED.html.

D. Jost, What is an Ultrasonic Sensor?, Oct 7,2019, https://www.fierceelectronics. com/sensors/whatultrasonic-

sensor.

cdn.instructables.com, SG90 9g, http: / / cdn . instructables .com / ORIG / FA2 /

O1SS/J7ARLNBW/FA2O1SSJ7ARLNBW.pdf.

sainsmart.com, L293D Motor Drive Shield For Arduino, https://www.sainsmart. com/products/l293dmotor-

drive-shield-for-arduino

tradewheel.com, Switching dc wall adaptor 5V 9V 12V 19V 24V power 1A 2A 3A 0.65A ac adapter,

https://www.tradewheel.com/p/switching-dc-wall-adaptor- 5v-9v-12628/.

amazone.com, iTouchless Squeeze Trash Compactor Garbage Can with Sensor Lid, Battery Free

Operation to Compact Waste from 13 to 20 gallon Capacity, Stainless Steel, Includes AC Adapter,

https://www.amazon.com/iTouchless- Compactor- Operation- Capacity-

Stainless/dp/B079NPRQVS/ref=as_li_ss_tl?ie=UTF8&linkCode = sl1 & tag = fee0f9 - 20 &linkId =

b95b335126249227712b520a22598e & language=en_US#HLCXComparisonWidget_feature_div.

amazone.com, simple human, Black Stainless Steel 58 Liter / 15.3 Gallon Rectangular Voice and

Motion Sensor Automatic Kitchen Trash Can, https://www.amazon. com/simplehuman-Stainless-

Touch-Free-

RectangularActivated/dp/B07T2G5Q6B/ref=as_li_ss_tl?ie=UTF8&linkCode=sl1&tag=fee0f920&linkId

=ff41f91cadb87f9ddafca32360 language=en_US&th=1#HLCXComparisonWidget_feature_div.

brookstone.com, iTouchless 16 Gallon Dual-Compartment Stainless Steel Kitchen Recycle Bin/Trash

Can, https://www.brookstone.com/16-gallon-dual-compartmentstainless- steel-kitchen-recycle-bintrash-

can.

amazone.com, TOWNEW Self-Sealing and Self-Changing 4 Gallon Trash Can | Automatic Open Lid

and Motion Sense Activated Garbage Bin | Smart Home Electric Trash Cans - White x1 Refill Ring

Included (Up to 25 Bags), hhhh, https://www. Amazon.com/TOWNEW- Self- Sealing- Self- Changing-

Automatic- Activated/dp/ B07TXKHB95.

http:// www.green-creative.com/r3d3 + https://www.amazon.fr > (29/06/2020).

https://eugene.fr / https://www.amazon.fr > ( 29/06/2020)

https://www.insignia-innovation.com / https://www.amazon.fr > (29/06/2020).

https://www.klarstein.fr / https://www.amazon.fr > (29/06/2020).

https://www.amazon.fr >( 29/06/2020).

https://www.lemontri.fr >( 29/06/2020).

S. P. Mohanty, U. Choppali, E. Kougianos, IEEE Consumer Electronics Magazine 2016, 5, 60–70

Karen Simonyan_ & Andrew Zisserman. “correspondante Very Deep Convolutional Networks for

Large-Scale Image Recognition “. Published as a conference paper at ICLR 2015.

https://research.aimultiple.com/transfer-learning/

https://github.com/liuzhuang13/DenseNet

Ejaz Ahmed, Student Member, IEEE, IbrarYaqoob, Student Member, IEEE, Abdullah Gani, Senior Member, IEEE, Muhammad Imran, Member, IEEE, and Mohsen Guizani, Fellow. “Internet of Things

based Smart Environments: State-of-the-art, Taxonomy, and Open Research Challenges”.

https://www.facebook.com/Startup.Incubator.Tebessa/videos/420456692998800/

https://univconstantine3.

dz/%D8%A7%D9%84%D9%85%D8%A4%D8%AA%D9%85%D8%B1-

%D8%A7%D9%84%D8%AC%D9%87%D9%88%D9%8A-

%D8%A8%D8%A7%D9%84%D8%B4%D8%B1%D9%82-

%D8%A7%D9%84%D8%AC%D8%B2%D8%A7%D8%A6%D8%B1%D9%8A-

%D9%84%D9%84%D8%B4%D8%B1%D9%83/




DOI: https://doi.org/10.31449/inf.v46i8.4331

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